Identification of Football Players based on Generic Fourier Descriptor Applied for the Recognition of Numbers

Author:

Frejlichowski Dariusz1

Affiliation:

1. West Pomeranian University of Technology, Szczecin, Zolnierska 52, 71-210, Szczecin, Poland

Abstract

Abstract There are various possible approaches to the task of automatic identification of football players on video sequences. In the paper the numbers on jerseys are analysed and investigated. Firstly, the algorithm for the localisation of sport shirts and consecutively numbers is described. Secondly, the method for the recognition of the extracted numbers is proposed and experimentally investigated. The approach analysed in the paper applies the Generic Fourier Descriptor for the representation of extracted binary shapes of numbers.

Publisher

Walter de Gruyter GmbH

Reference16 articles.

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3. [3] Assfalg, J., Bertini, M., Colombo, C., Del Bimbo, A., Nunziati, W. (2003). Semantic annotation of soccer videos: automatic highlights identification. Computer Vision and Image Understanding, 92, 285–305

4. [4] Frejlichowski D. (2011). A Method for Data Extraction from Video Sequences for Automatic Identification of Football Players Based on Their Numbers. In: G. Maino and G. L. Foresti (Eds.): ICIAP 2011, Part I, Lecture Notes in Computer Science, 6978, 355–364

5. [5] Frejlichowski, D. (2011). Recognition of Trademarks During Sport Television Broadcasts. In: M. Kamel and A. Campilho (Eds.): ICIAR 2011, Part II, Lecture Notes in Computer Science, 6754, 380–388

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